一种园区监控方法、系统、电子设备及存储介质
By using multi-sensor collaborative monitoring and cross-modal feature analysis, the problems of false alarms and missed alarms in the park monitoring system have been solved, enabling multi-dimensional monitoring and accurate identification of target behavior in the park, and improving the reliability and real-time performance of park security management.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NANJING NANDA SIWEI TECHNOLOGY DEVELOPMENT CO LTD
- Filing Date
- 2025-07-16
- Publication Date
- 2026-07-17
AI Technical Summary
Existing park monitoring systems rely on visible light cameras, which are prone to false alarms and missed alarms, making it difficult to accurately identify abnormal behavior and resulting in insufficient accuracy and reliability of park security management.
Infrared thermal imaging sensors, visible light camera sensors, audio sensors, and vibration sensors are used to acquire multi-source data stream information. A multi-dimensional sensing data matrix is formed by using a unified timestamp, cross-modal correlation features are extracted, a multi-dimensional description vector is constructed, and offset distance is calculated to generate early warning information.
It enables multi-dimensional collaborative monitoring of target behaviors in the park, improves the accuracy of abnormal behavior identification, avoids false alarms and missed alarms, and enhances the reliability and real-time performance of park monitoring.
Smart Images
Figure CN120877487B_ABST